R: Bayesian Individual Patient Data Meta-Analysis using 'JAGS'

# Bayesian Individual Patient Data Meta-Analysis using 'JAGS'

## Documentation for package ‘bipd’ version 0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

bipd-package | bipd: A package for individual patient data meta-analysis using 'JAGS'
add.mcmc | Convenient function to add results (i.e. combine mcmc.list)
findMissingPattern | Find missing data pattern in a given data
generate_ipdma_example | Generate a simulated IPD-MA data for demonstration
generate_ipdnma_example | Generate a simualted IPD-NMA data for demonstration
generate_sysmiss_ipdma_example | Generate a simulated IPD-MA data with systematically missing covariates
ipd.run | Run the model using the ipd object
ipd.run.parallel | Run the model using the ipd object with parallel computation
ipdma.impute | Impute missing data in individual participant data with two treatments (i.e. placebo and a treatment).
ipdma.model.deft.onestage | Make a (deft-approach) one-stage individual patient data meta-analysis object containing data, priors, and a JAGS model code
ipdma.model.onestage | Make an one-stage individual patient data meta-analysis object containing data, priors, and a JAGS model code
ipdnma.model.onestage | Make an one-stage individual patient data network meta-analysis object containing data, priors, and a JAGS model code
treatment.effect | Calculate patient-specific treatment effect